• Publications
  • Influence
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over 6600 scenes of Landsat TMExpand
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Aesthetic Visual Quality Assessment of Paintings
  • C. Li, T. Chen
  • Computer Science
  • IEEE Journal of Selected Topics in Signal…
  • 10 March 2009
This paper aims to evaluate the aesthetic visual quality of a special type of visual media: digital images of paintings. Assessing the aesthetic visual quality of paintings can be considered a highlyExpand
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Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery
Although a large number of new image classification algorithms have been developed, they are rarely tested with the same classification task. In this research, with the same Landsat Thematic MapperExpand
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China’s urban expansion from 1990 to 2010 determined with satellite remote sensing
Based on the same data source of Landsat TM/ETM+ in 1990s, 2000s and 2010s, all urban built-up areas in China are mapped mainly by human interpretation. Mapping results were checked and refined byExpand
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Towards aesthetics: a photo quality assessment and photo selection system
Automatic photo quality assessment and selection systems are helpful for managing the large mount of consumer photos. In this paper, we present such a system based on evaluating the aesthetic qualityExpand
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Automatic discovery of groups of objects for scene understanding
Objects in scenes interact with each other in complex ways. A key observation is that these interactions manifest themselves as predictable visual patterns in the image. Discovering and detectingExpand
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Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
ABSTRACT Land-cover mapping is an important research topic with broad applicability in the remote-sensing domain. Machine learning algorithms such as Maximum Likelihood Classifier (MLC), SupportExpand
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Improved catalytic efficiency of Endo-β-1,4-glucanase from Bacillus subtilis BME-15 by directed evolution
Bacillus subtilis endo-β-1,4-glucanase (Cel5A) hydrolyzes cellulose by cleavage of the internal bonds in the glucose chains, producing new ends randomly. Using directed evolution techniques ofExpand
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Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Scene understanding includes many related subtasks, such as scene categorization, depth estimation, object detection, etc. Each of these subtasks is often notoriously hard, and state-of-the-artExpand
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Aesthetic quality assessment of consumer photos with faces
Automatically assessing the subjective quality of a photo is a challenging area in visual computing. Previous works study the aesthetic quality assessment on a general set of photos regardless of theExpand
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